scholarly journals Robust Control Design for Kaplan Turbine

2021 ◽  
Vol 2141 (1) ◽  
pp. 012006
Author(s):  
Hernando González Acevedo
Keyword(s):  
Robust Control ◽  
Dynamic Model ◽  
Transient Response ◽  
Reference Signal ◽  
Control Design ◽  
Parameter Uncertainties ◽  
Robust Controller ◽  
System A ◽  
Kaplan Turbine ◽  
Robust Control Design

Abstract The paper presents the dynamic model of a Kaplan turbine coupled to a DC generator, which is part of the H112D didactic system. A robust controller is designed using two different techniques: H ∞ mixed sensitivity and Quantitative feedback Theory (QFT). The robustness of the controller was analysed with three indicators: analysis of parameter uncertainties, transient response given a variable reference signal and robustness against disturbances.

Robust controller design for a three-shaft industrial gas turbine in the infinite grid power generation

2019 ◽  
Vol 42 (1) ◽  
pp. 131-156
Author(s):  
Abdollah Mehrpanahi ◽  
Mohammadreza Arbabtafti ◽  
Gholamhassan Payganeh
Keyword(s):  
Power Generation ◽  
Robust Control ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Controller Design ◽  
Control Design ◽  
Robust Controllers ◽  
Actual System ◽  
Robust Controller ◽  
Robust Control Design

Due to the sensitivity of gas turbines’ power generation in Iran, robustness is considered as a crucial matter and the controllers play an essential role in this objective. The common controllers used in gas turbines are usually based on standard performance. Whereas, robust controllers demonstrate acceptable performance in the presence of adverse factors such as uncertainties, disturbances, and input step changes. In this study, dynamic structures and various robust control design scenarios for an MGT-30 three-shaft gas turbine have proposed. Input-output matrices have been presented based on the dynamic model structures, and a standard robust controller structure has been used to design and present transfer matrices. Four scenarios have been considered in the robust control design according to the number of control variables, uncertainties, and disturbance effects, evolutionally, respectively. [Formula: see text] and [Formula: see text] methods were used in the controller design when presenting the results of using the existing PID controller. The results show that with the increase and develop in parameters influencing the production of the actual system behavior and the controller responses improve noticeably. Finally, the fourth scenario was proposed as a scenario with more desirable robustness features than other scenarios, which provide a complete array of robust controllers.

Emulator-based control and internal model control: Complementary approaches to robust control design

Automatica ◽  
1996 ◽  
Vol 32 (8) ◽  
pp. 1223-1227 ◽  
Author(s):  
Peter J. Gawthrop ◽  
Richard W. Jones ◽  
Daniel G. Sbarbaro
Keyword(s):  
Robust Control ◽  
Internal Model ◽  
Control Design ◽  
Internal Model Control ◽  
Model Control ◽  
Robust Control Design

MRCD: a genetic algorithm for multiobjective robust control design

2002 ◽  
Vol 15 (3-4) ◽  
pp. 285-301 ◽  
Author(s):  
Alberto Herreros ◽  
Enrique Baeyens ◽  
José R. Perán
Keyword(s):  
Genetic Algorithm ◽  
Robust Control ◽  
Control Design ◽  
Robust Control Design
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